title: Reuse of routinely collected health data for clinical research: considerations in a central England case study.
abstract: An increasing amount of electronic health data is being collected for patient care, and with it the opportunity to explore reusing this data, for example to support clinical research. We explore how researchers can be supported in identifying potential study participants using a semi-automated approach to query anonymised datasets remotely. This paper describes the socio-technical considerations when answering this question in a central England case study.
authors.affiliation: University of Birmingham, Birmingham, United Kingdom.
authors.forename: Sarah N
authors.initials: SN
authors.lastname: Lim Choi Keung
authors.forename: Lei
authors.initials: L
authors.lastname: Zhao
authors.forename: James
authors.initials: J
authors.lastname: Rossiter
authors.forename: Gavin
authors.initials: G
authors.lastname: Langford
authors.forename: Adel
authors.initials: A
authors.lastname: Taweel
authors.forename: Brendan C
authors.initials: BC
authors.lastname: Delaney
authors.forename: Kevin A
authors.initials: KA
authors.lastname: Peterson
authors.forename: Stuart M
authors.initials: SM
authors.lastname: Speedie
authors.forename: F D Richard
authors.initials: FD
authors.lastname: Hobbs
authors.forename: Theodoros N
authors.initials: TN
authors.lastname: Arvanitis
mesh_terms: D035843:Biomedical Research / Q000379:methods*; D057225:Data Mining / Q000379:methods*; D003628:Database Management Systems; D057286:Electronic Health Records; D004739:England; D055991:Health Records, Personal; D008498:Medical Record Linkage / Q000379:methods*; D018579:Patient Selection